Speakers
Adrian Alan Pol
(Princeton University (US))
Savannah Jennifer Thais
(Princeton University (US))
Description
With the vast amount of data and increasing computing power, the last decade saw an explosion of deep learning applications for real-world problems, especially when working with images. Deep learning is increasingly adopted in the high-energy physics field.
We will go through the basics of neural networks: how do we train them and how do they make predictions. We will cover the basic building blocks of modern solutions. In the hands-on tutorial, you will learn how to use deep learning for jet tagging with high or low-level input data.
